Multi-Task Learning.
Multi-task learning (MTL) [1]} aims to make use of data obtained from multiple related tasks to improve the model performance on all the tasks. MTL helps in many domains under plenty of situations, especially when the amount of data for one learning task is limited, or the cost of collecting data is high.
